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DBMS > Amazon Redshift vs. Derby vs. ObjectBox vs. Sphinx vs. Splice Machine

System Properties Comparison Amazon Redshift vs. Derby vs. ObjectBox vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Extremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­redshiftdb.apache.org/­derbyobjectbox.iosphinxsearch.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­redshiftdb.apache.org/­derby/­manuals/­index.htmldocs.objectbox.iosphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationObjectBox LimitedSphinx Technologies Inc.Splice Machine
Initial release20121997201720012014
Current release10.17.1.0, November 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++C++Java
Server operating systemshostedAll OS with a Java VMAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesrestrictedyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
JDBCProprietary native APIProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Proceduresnonoyes infoJava
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationonline/offline synchronization between client and servernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon RedshiftDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBObjectBoxSphinxSplice Machine
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Amazon RedshiftDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBObjectBoxSphinxSplice Machine
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